Memobase

Where it runs

• API

Tags

• #memory
• #agents
• #user-profile
• #personalization
• #mcp

• View Cognee details

  MemoryFREEMIUMOpen core

  CO

  Cognee

  Cognee

  Open-source memory for AI agents.

  An open-source semantic memory layer for AI agents. Cognee ingests documents, relational data, and system context, then runs an Extract-Cognify-Load pipeline that uses an LLM to build a knowledge graph with embeddings and relationships. Agents query it for durable, cross-session context that captures how concepts connect. Self-host the Python SDK for free, or use the managed cloud tiers.

  AI insight: Pairs vector search with an LLM-built knowledge graph so recall can follow relationships, not just nearest-neighbor similarity.

  • agent-memory
  • knowledge-graph
  • rag
  • open-source

  Open
• View Honcho details

  MemoryFREEMIUMOpen core

  HO

  Honcho

  Plastic Labs

  Continual learning memory for stateful agents. Better context, fewer tokens.

  A memory and user-personalization layer for AI agents that keeps reasoning about each user across sessions, so apps get richer context without stuffing whole histories into the prompt. It models peers and sessions, runs background inference to derive durable facts, and answers natural-language questions about a user at query time. Available as a managed API or self-hosted FastAPI server, with Python and TypeScript SDKs.

  AI insight: AGPL-3.0 core that runs background inference between sessions, storing derived facts about each user rather than raw transcripts.

  • memory
  • agents
  • personalization
  • self-hosted

  Open
• View Supermemory details

  MemoryFREEMIUMOpen core

  SU

  Supermemory

  Supermemory

  Memory API that gives any AI agent long-term recall.

  Supermemory is a memory and context engine for AI apps. It ingests documents, chat histories, and connector data (Drive, Gmail, Notion), turns them into a searchable store, and serves relevant context back to agents over a single API. It works with any model and ships an MCP server alongside official SDKs.

  AI insight: MIT-licensed memory engine you can self-host or call as a managed API — one recall endpoint that works across any model.

  • agent-memory
  • rag
  • long-term-memory

  Open
• View Zep details

  MemoryFREEMIUM

  ZE

  Zep

  Zep

  Temporal knowledge-graph memory for AI agents.

  Memory layer that gives agents long-term context by building a temporal knowledge graph from chat history and business data, tracking how facts evolve over time. It's powered by Graphiti, Zep's Apache-2.0 open-source temporal graph engine, with Zep Cloud offering a managed, credit-based service on top. Used to keep agent context relevant as conversations and data grow.

  AI insight: Built on its open-source Graphiti engine, it stores a temporal knowledge graph that versions how facts change over time, not flat snapshots.

  • memory
  • agents
  • knowledge-graph
  • temporal
  • +1

  Open
• View Letta details

  MemoryFREEMIUMOpen core

  LE

  Letta

  Letta

  Stateful agents with structured memory. Successor to MemGPT.

  Open-source framework for building stateful agents — memory blocks, context-window management, tool-use primitives baked in. Useful as a reference architecture for long-running agents.

  AI insight: The productized successor to the MemGPT paper — agents edit their own memory blocks to manage a finite context window.

  • memory
  • stateful
  • agents
  • open-source

  Open
• View mem0 details

  MemoryFREEMIUMOpen core

  ME

  mem0

  Mem0

  Long-term memory layer for AI agents. Self-hostable.

  Persistent memory store + retrieval pipeline for agent applications. Handles per-user/per-session/per-agent scope cleanly; pairs with OpenAI, Anthropic, and local models.

  AI insight: Stores distilled facts rather than whole transcripts, so an agent's memory stays small and relevant as conversations grow.

  • memory
  • agents
  • rag
  • self-hosted

  Open